Uber's COO says it's getting harder to justify the money spent on AI tokenmaxxing
Business Insider reports Uber’s COO says AI spend is harder to justify without proportional output, spurring internal debate about token consumption versus headcount.
Published 2026-05-25Source: Business Insider
Why it matters
When teams are graded on AI usage, they optimize for prompts, retries, and bigger context windows. Leaders now want evidence that tokenmaxxing produces shipped value.
Tokenmaxxing read
Replace usage quotas with outcome quotas plus a spend envelope: log tokens per workflow, gate large agent loops, and review “tokens → features shipped” like any other cost center.
Source takeaway
An Uber exec says higher AI usage hasn’t yet shown a clear, proportional increase in useful consumer features.
Companies are scrambling to stop employees from maxing out AI budgets with small tasks | TechCrunch
TechCrunch reports Accenture is reining in employees who spend premium AI tokens on trivial jobs — like converting PDFs into slide decks — after agentic AI lead Justice Kwak flagged spend turning unpredictable and material to costs.
How will AI tools be priced in a post-tokenmaxxing world?
CFO Brew reports vendors including Pegasystems and Intercom are shifting from token-metered pricing toward outcome-based fees as buyers question whether uncapped AI spend ever paid for itself.
From tokenmaxxing to ROI-maxxing: Why enterprises are finally putting a price on AI
Fortune India charts the move from tokenmaxxing to ROI: Uber spent its ~$3.4B-equivalent annual AI budget in four months and capped engineers at $1,500/mo, while only 21% of firms have mature agentic-AI governance, per Deloitte.
